Tag: Performance Engineering

2 articles

• Continuous Batching in Production: Keeping LLM Services GPU-Saturated Under High Concurrency

  A systematic guide to continuous batching for LLM serving: core principles, scheduling strategies, KV Cache constraints, engineering deployment steps, and monitoring metrics. Covers the full path from proof-of-concept to production, helping teams boost throughput while controlling tail latency in high-concurrency scenarios.

  07/01/2026 LLM Serving / Continuous Batching / vLLM / KV Cache / Performance Engineering / Inference Optimization / GPU Scheduling

• Speculative Decoding in Production: Reducing LLM Latency with Draft Models

  A systematic guide to Speculative Decoding for LLM inference: principles, engineering trade-offs, model selection, monitoring metrics, and common pitfalls. Learn when and how to deploy draft models for latency reduction.

  06/30/2026 LLM / Inference Optimization / Speculative Decoding / LLMOps / Performance Engineering